Provides memory-efficient biweight midcorrelation and exact bicor-based k-nearest-neighbor graph construction for dense and sparse numeric matrices. Dense, sparse, and mixed-input paths avoid materializing full dense similarity matrices for tidy and k-nearest-neighbor workflows where possible. The implementation supports pairwise finite-overlap handling and robust correlation-based graph construction for biological expression matrices and other high-dimensional numeric data.
| Version: | 0.4.3 |
| Depends: | R (≥ 4.3.0) |
| Imports: | Matrix, methods, stats |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-09-27 |
| DOI: | 10.32614/CRAN.package.bgns (may not be active yet) |
| Author: | Aditya Kshirsagar [aut, cre] |
| Maintainer: | Aditya Kshirsagar <adityaksh4 at gmail.com> |
| BugReports: | https://github.com/metaddict/bgns/issues |
| License: | GPL-3 |
| URL: | https://github.com/metaddict/bgns |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17, optional OpenMP |
| Citation: | bgns citation info |
| Materials: | README, NEWS |
| CRAN checks: | bgns results |
| Reference manual: | bgns.html , bgns.pdf |
| Vignettes: |
bgns: Biweight Graph and Network Statistics (source, R code) |
| Package source: | bgns_0.4.3.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: bgns_0.4.3.zip |
| macOS binaries: | r-release (arm64): bgns_0.4.3.tgz, r-oldrel (arm64): bgns_0.4.3.tgz, r-release (x86_64): bgns_0.4.3.tgz, r-oldrel (x86_64): bgns_0.4.3.tgz |
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